Python Training

Python uses dynamic typing, and a combination of reference counting and a cycle-detecting garbage collector for memory management. It also features dynamic name resolution (late binding), which binds method and variable names during program execution. Register Today

Python Training Plans

Description Python PL-SQL &
Total Duration 4 Weeks 8 Weeks
Completely Real-time, Practical
Mock Interviews, Case Studies
Python: Modules
Python: Detailed Design of Interactive
Python: Python Dictionary
Python: Introduction to Web
Python: GUI Programming-Tkinter
SQL : Basic SQL, SQL Server Concepts
PL-SQL : Queries, Joins, Group By
PL-SQL : Queries, SProcs, Lock Hints
PL-SQL: Queries, Normal Forms, Excel
Total Course Fee * INR 6,000
USD 81
INR 11,000
USD 149

Trainer: Mr. Shekar having 16+ Experience

Python Training Schedules :

Schedules for Python
S No Timings (IST) Start Date  
  Regular Schedules [Mon - Fri]
1 9:30 AM - 10:30 AM Oct 25th Register
2 6:30 PM - 7:30 PM Oct 18th Register
  Weekend Schedules [Sun Á Sun]
3 8:30 AM - 10:30 AM Oct 1st Register
Schedules for Oracle SQL & PL-SQL
S No Timings (IST) Start Date  
  Regular Schedules [Mon - Fri]
1 6:30 AM - 7:30 AM Oct 25th Register
2 8:30 AM - 9:30 AM Sep 29th Register
3 10:30 AM - 11:30 AM Oct 11th Register
4 5:30 PM - 6:30 PM Oct 4th Register
5 8:30 PM - 9:30 PM Oct 18th Register

Python Training Highlights :

Real-Time Training Practical Training
PYTHON NEW IDEs Operators and Operands
Python Modules Packages in Python
String Handling Python Date and Time
Python OS Module Internet of Things
Python Class and Objects GUI Programming-Tkinter

Python Training Course Contents:


Python Training - Highlights :

  • Completely Practical and Real-time
  • Suitable for Starters + Working Professionals
  • Session wise Handouts and Tasks + Solutions
  • TWO Real-time Case Studies, One Project
  • Weekly Mock Interviews, Certifications
  • Certification & Interview Guidance
  • Python Modes and new IDEs
  • Variables, Strings, Operations, Functions
  • Sequence, Lists, Tuple, Sets
  • Date & Time, Dictionary, Python Modes
  • File Handling and Exception Handling
  • Unit Testing, Python Web, Data Analytics
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